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» Robust Feature Selection Algorithms
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NIPS
2003
13 years 9 months ago
Learning a Rare Event Detection Cascade by Direct Feature Selection
Face detection is a canonical example of a rare event detection problem, in which target patterns occur with much lower frequency than nontargets. Out of millions of face-sized wi...
Jianxin Wu, James M. Rehg, Matthew D. Mullin
ISNN
2005
Springer
14 years 1 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
ICCS
2005
Springer
14 years 1 months ago
Highly Scalable Algorithms for Robust String Barcoding
: String barcoding is a recently introduced technique for genomic based identification of microorganisms. In this paper we describe the engineering of highly scalable algorithms fo...
Bhaskar DasGupta, Kishori M. Konwar, Ion I. Mandoi...
VMV
2001
145views Visualization» more  VMV 2001»
13 years 9 months ago
Registering Real-Scene to Virtual Imagery Using Robust Image Features
The ability to locate objects in a real-time video and relate them to virtual objects in a database is important in a number of applications including visually-guided robotic navi...
Yi Lu Murphey, Jianxin Zhang, Michael DelRose
PRL
1998
132views more  PRL 1998»
13 years 7 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal